Motive structure underlying the use of intelligent connected vehicles
Lin, Li1; Zhang, Jingyu1; Zhang, Liang1; Cao, Jianqin1; Wang, Jifang2; Luo, Xiaojun2; Wang, Ya2
Conference Name2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA
Source PublicationConference on Human Factors in Computing Systems - Proceedings
Conference Date2020, April 25, 2020 - April 30, 2020
Conference Place不详
Contribution Rank1

Intelligent connected vehicles (ICVs) are the foundation to create an intelligent transport eco-system. While the population of ICV users is gradually increasing, the motives underlying use of ICVs remain unclear. Here, we developed a scale to measure motives for ICV use. Taken the results of explorative factor analysis and confirmatory factor analysis together, we suggested a four-factor model: symbolic, instrumental, affective-self, and affective-other motives. We found that ICV users with different characteristics in age, annual income and driving distance evaluated the importance of motives differently. ICV users who are richer and drive longer distances are more likely to show higher symbolic and affective-self motives. Also, users' symbolic motive grows with age. Finally, we found that symbolic and affective motives correlated highly with social norms and loyalty, while instrumental motives related to perceived control feelings toward operating the vehicle. These findings shed novel insights on how to design ICVs and make related policies.

Indexed ByEI
Document Type会议论文
Affiliation1.Institute of Psychology Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China
2.Baidu Intelligent Driving Experience Design Center, Beijing, China
Recommended Citation
GB/T 7714
Lin, Li,Zhang, Jingyu,Zhang, Liang,et al. Motive structure underlying the use of intelligent connected vehicles[C],2020.
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